Ontologies for cloud robotics

  • Edison Pignaton De Freitas
  • , Julita Bermejo-Alonso
  • , Alaa Khamis
  • , Howard Li
  • , Joanna Isabelle Olszewska

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.

Original languageEnglish
Article numbere25
JournalKnowledge Engineering Review
Volume35
DOIs
StatePublished - 2 Jun 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), 2020.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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